Computer vision is a tremendously broad field, with dozens of domains and potential applications. Motion tracking is a subfield of computer vision that seeks to follow the motion of a person or object across multiple frames in a video.
Computer vision can offer benefits to your business ranging from greater efficiency and productivity to dramatically lower expenses—but are you familiar with the different subdomains of computer vision, and which one might be right for you?
Ready for Drone AI and Security AI? This webcast is presented by Security Systems News and Security Industry Association featuring Asylon, Ceva Logistics and Chooch AI. Joe Goodings, Director of Standards at Security Systems News moderated the panel. Jim McDonald, VP of Global Security, CEVA Logistics, Logan Selby, Vice President of Operations at Asylon, and Michael Leal, Vice President of Strategy and Growth at Chooch AI present.
Computer vision is a broad and well-established field that has developed many different subdomains and applications—so which of them is best for your organization? Defect detection is a task in computer vision with the goal of recognizing potential defects, errors, anomalies, and issues with products or machinery.
Computer vision is a subfield of computer science, artificial intelligence, and machine learning that provides computers with an “understanding” of digital images and videos. The ultimate goal of computer vision is to enable machines to “interpret” visual data in the same way that humans do—detecting objects, people, faces, events, actions, even time.
Computer vision and artificial intelligence need a lot of data. The more volume and variety of data that you can show to your model during AI training, the more high-performance and robust the model will be when examining data in the real world that it hasn’t seen before. There’s just one issue: what if you only have a limited amount of data in the first place? That’s where data augmentation comes in.
Synthetic data can now radically accelerate the creation of AI models for computer vision. Watch this 5 minute vision to see how it works. Then, to learn more and to sign up for a demo of the Chooch AI 3D Synthetic Data Generation tool on the computer vision platform, please visit Synthetic Data Generation
To build accurate computer vision models, you need data—and lots of it. Now, you can generate images with synthetic data and augmented data on the Chooch AI platform, and then use these synthetic images to train and deploy computer vision models. What you’ll learn in this webinar is how to use different technologies with the same goal: deploying accurate computer vision even faster. Watch the video or read the transcript below.
Powered by artificial intelligence and machine learning, computer vision can help digitally transform your business. Today, sophisticated computer vision AI models can learn to recognize a wide variety of faces, objects, concepts, and actions, just as well as—if not even better than—humans can. But…
Analyzing big data is crucial for organizations to make smarter data-driven decisions—but not all big data is created equally. It’s important to make the distinction between structured data and unstructured data: